Senior Scientist

About MetFlux Research

Job Title:
Senior Scientist (Systems Biology): 5-8 Years of Experience

Location:
Bengaluru – Rajarajeshwari Nagar / Onsite

Organization:
MetFlux Research Private Limited

Employment Type:
Full-time

About Us

MetFlux Research is building the
ΩmeX ecosystem
— a next-generation Biology-first AI integrating systems biology, in-silico modeling, and multi-model analytics to decode
metabolic and immune health mechanisms
that drive wellness, aging, and chronic-disease solutions.

Our translational R&D arm,
MetSolve
, partners with nutraceutical, wellness, and life-science organizations to model efficacy, safety, and mechanistic pathways of bioactive compounds and functional formulations. Parallelly,
MetSights
brings this intelligence into precision-care tools for healthcare and wellness professionals.

Role Overview

We are seeking a
Senior Scientist (Systems Biology)
who can lead the design, execution, and interpretation of computational systems-biology models across
multiple physiological domains
. This is a key role that blends computational modeling, physiology, multi-omics integration, and translational science.

The ideal candidate is domain-flexible, methodologically strong, and capable of guiding an interdisciplinary team while delivering scientific rigor and actionable insights for both internal platform development and external R&D projects.

Key Responsibilities

Systems Biology & In-Silico Modeling

• Develop and refine multi-scale, constraint-based, and mechanistic models for human physiology (metabolic, immune, cognitive, skin, gut, or other relevant domains).
• Integrate omics (metabolomics, genomics, transcriptomics, microbiome), clinical markers, and literature-curated mechanisms into unified computational frameworks.
• Derive mechanistic hypotheses and translational insights for nutraceutical, functional food, and wellness R&D projects.

Cross-Domain Research & Flexibility

Adapt systems-biology approaches to diverse health contexts:

• Metabolic health & energy pathways
• Immune & inflammation processes
• Gut–microbiome interactions
• Cognitive development & neuro-metabolic links
• Skin-health & barrier physiology
• Women's health & child nutrition
• Aging systems biology
• Rapidly learn new domains and translate biological knowledge into computational form.

Leadership & Collaboration

• Lead a multi-disciplinary scientific team, ensuring reproducibility, documentation, and delivery quality.
• Work closely with mathematical modeler, physiologists, nutrition & clinical scientists teams.
• Contribute to building the domain specific ΩmeX knowledge graph, physiological ontologies, and multi-domain modeling pipelines for scalable MetSolve offerings.

Scientific Communication & Delivery

• Prepare high-quality scientific reports, client presentations, white papers, and publication-ready material.
• Support proposal development, grant applications, and strategic collaborations

Qualifications & Experience

• PhD/Post-Doctorate
  in Systems Biology, Computational Biology, Quantitative Physiology, Bioengineering, or related domain.
• 5-8 years
  of experience in systems-biology modeling, multi-scale data integration, or computational physiology.
• Proven expertise in:
  Multi-organ or multi-pathway physiological modeling, Host–microbiome interaction modeling, Mechanistic or kinetic models (QSP preferred but not mandatory)
• Strong proficiency in
  MATLAB / Python
  , with ability to design end-to-end modeling workflows.
• Ability to mentor junior researchers and lead multi-domain scientific workstreams.
• Strong writing, documentation, and scientific interpretation skills.

Attributes We Value

• Domain-agnostic scientific curiosity
  with ability to work across metabolic, immune, cognitive, skin, and developmental physiology projects.
• Systems-level thinker capable of connecting mechanism → phenotype → clinical relevance.
• High ownership, detail orientation, and scientific rigor.
• Ability to translate deep models into
  practical insights
  for R&D and product development.

Compensation & Growth

• A compensation structure that is
  fair, competitive, and aligned with expertise and responsibility
  .
• Opportunity to grow into
  Scientific Manager & Leadership
  roles as MetSolve expands.
• Work on impactful, multi-domain projects bridging mechanistic biology, computation, and product innovation.
• A deeply collaborative environment across science, technology, and translational healthcare.

Why Join Us

• Build next-generation
  multi-domain systems-biology models
  underlying the precision-health revolution.
• Contribute to impactful projects in wellness, product innovation, and computational healthcare.
• Work with a deeply interdisciplinary team at the intersection of AI, biology, and clinical translation.
• Shape the future of the
  ΩmeX ecosystem
  , influencing scientific roadmaps across MetSolve and MetSights.

Interested candidates may apply through this post and
send cover letter and CV to